Chen, Enhong

99 publications

NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

ICML 2025 CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen

AAAI 2025 Explore What LLM Does Not Know in Complex Question Answering Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen

ICML 2025 From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen

AAAI 2025 Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen

ICML 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu

NeurIPS 2025 Improving Time Series Forecasting via Instance-Aware Post-Hoc Revision Zhiding Liu, Mingyue Cheng, GuanHao Zhao, Jiqian Yang, Qi Liu, Enhong Chen

CVPR 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration Yuxuan Gu, Haoxuan Wang, Pengyang Ling, Zhixiang Wei, Huaian Chen, Yi Jin, Enhong Chen

NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen

AAAI 2025 Multi-Branch Self-Drafting for LLM Inference Acceleration Zipeng Gao, Qingrong Xia, Tong Xu, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen

AAAI 2025 Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen

NeurIPS 2025 P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen

ICML 2025 Position: AI Evaluation Should Learn from How We Test Humans Yan Zhuang, Qi Liu, Zachary Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen

NeurIPS 2025 RAG-IGBench: Innovative Evaluation for RAG-Based Interleaved Generation in Open-Domain Question Answering Rongyang Zhang, Yuqing Huang, Chengqiang Lu, Qimeng Wang, Yan Gao, Yiwu, Yao Hu, Yin Xu, Wei Wang, Hao Wang, Enhong Chen

ICLR 2025 ToolACE: Winning the Points of LLM Function Calling Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Wang Xinzhi, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

ICLR 2025 Unveiling the Magic of Code Reasoning Through Hypothesis Decomposition and Amendment Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen

CVPR 2025 Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-Modal LLMs in Video Analysis Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun

ICML 2025 What Makes In-Context Learning Effective for Mathematical Reasoning Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen

ICML 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen

NeurIPS 2024 Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen

AAAI 2024 Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen

AAAI 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen

NeurIPS 2024 Generalization Error Bounds for Two-Stage Recommender Systems with Tree Structure Jin Zhang, Ze Liu, Defu Lian, Enhong Chen

NeurIPS 2024 Learning from Highly Sparse Spatio-Temporal Data Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen

IJCAI 2024 Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen

ICML 2024 Learning-Efficient yet Generalizable Collaborative Filtering for Item Recommendation Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen

IJCAI 2024 Pre-Training General User Representation with Multi-Type APP Behaviors Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu

NeurIPS 2024 SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen

NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen

NeurIPS 2024 VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu, Yao Hu, Enhong Chen, Mike Zheng Shou

NeurIPS 2023 A Bounded Ability Estimation for Computerized Adaptive Testing Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li

NeurIPS 2023 Adaptive Normalization for Non-Stationary Time Series Forecasting: A Temporal Slice Perspective Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen

AAAI 2023 BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu

IJCAI 2023 Exploiting Non-Interactive Exercises in Cognitive Diagnosis Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang

NeurIPS 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen

ICLR 2023 Federated Nearest Neighbor Machine Translation Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen

IJCAI 2023 KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen

NeurIPS 2023 Knowledge Distillation for High Dimensional Search Index Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen

ICML 2023 Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-Sided Resource Constraints and Finite Requests Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang

AAAI 2023 Query-Aware Quantization for Maximum Inner Product Search Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen

AAAI 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-Training Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang

AAAI 2022 Anisotropic Additive Quantization for Fast Inner Product Search Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

NeurIPS 2022 Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen

NeurIPS 2022 DARE: Disentanglement-Augmented Rationale Extraction Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen

NeurIPS 2022 Graph Convolution Network Based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen

NeurIPS 2022 Recommender Forest for Efficient Retrieval Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen

ECML-PKDD 2022 Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen

CVPR 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen

AAAI 2021 Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen

AAAI 2021 Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen

ICCV 2021 DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen

IJCAI 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

AAAI 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang

AAAI 2021 Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou

AAAI 2021 Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

IJCAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen

IJCAI 2021 Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong

AAAI 2020 A Variational Point Process Model for Social Event Sequences Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen

AAAI 2020 Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen

AAAI 2020 Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu

AAAI 2020 Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen

NeurIPS 2020 Incorporating BERT into Parallel Sequence Decoding with Adapters Junliang Guo, Zhirui Zhang, Linli Xu, Hao-Ran Wei, Boxing Chen, Enhong Chen

AAAI 2020 Neural Cognitive Diagnosis for Intelligent Education Systems Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

NeurIPS 2020 Sampling-Decomposable Generative Adversarial Recommender Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen

NeurIPS 2020 Semi-Supervised Neural Architecture Search Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Enhong Chen, Tie-Yan Liu

IJCAI 2020 Towards Explainable Conversational Recommendation Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen

IJCAI 2019 Co-Attentive Multi-Task Learning for Explainable Recommendation Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen

AAAI 2019 DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie

NeurIPS 2019 Efficient Pure Exploration in Adaptive Round Model Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen

AAAI 2019 Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge

IJCAI 2019 Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu

IJCAI 2019 Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen

AAAI 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen

IJCAI 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong

ICLR 2019 Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang

AAAI 2018 Confidence-Aware Matrix Factorization for Recommender Systems Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

AAAI 2018 Exercise-Enhanced Sequential Modeling for Student Performance Prediction Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu

AAAI 2018 Joint Training for Neural Machine Translation Models with Monolingual Data Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen

NeurIPS 2018 Neural Architecture Optimization Renqian Luo, Fei Tian, Tao Qin, Enhong Chen, Tie-Yan Liu

IJCAI 2018 Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen

ICML 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang

AAAI 2017 A Context-Enriched Neural Network Method for Recognizing Lexical Entailment Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv

IJCAI 2017 Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen

IJCAI 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang

AAAI 2017 Question Difficulty Prediction for READING Problems in Standard Tests Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu

AAAI 2016 Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang

AAAI 2016 Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng

AAAI 2015 A Nonconvex Relaxation Approach for Rank Minimization Problems Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen

IJCAI 2015 Cognitive Modelling for Predicting Examinee Performance Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu

AAAI 2015 Exploiting Task-Feature Co-Clusters in Multi-Task Learning Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen

IJCAI 2015 Matrix Factorization with Scale-Invariant Parameters Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang

IJCAI 2015 Maximizing the Coverage of Information Propagation in Social Networks Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang

AAAI 2015 Temporally Adaptive Restricted Boltzmann Machine for Background Modeling Linli Xu, Yitan Li, Yubo Wang, Enhong Chen

IJCAI 2015 Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen

AAAI 2014 Agent Behavior Prediction and Its Generalization Analysis Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu

AAAI 2014 Learning Deep Representations for Graph Clustering Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu

IJCAI 2013 PageRank with Priors: An Influence Propagation Perspective Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang

NeurIPS 2012 Image Denoising and Inpainting with Deep Neural Networks Junyuan Xie, Linli Xu, Enhong Chen

ECML-PKDD 2012 On Approximation of Real-World Influence Spread Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad